class_docstr: The 'vgg7' waifu2x network.
  Lower quality and slower than even upconv7 (nevermind cunet), but is very easy to implement and test.
class_docstr_tok: ["The","'vgg7","'","waifu2x","network",".","Lower","quality","and","slower","than","even","upconv7","(","nevermind","cunet",")",",","but","is","very","easy","to","implement","and","test","."]
code: def __init__(self):
      self.conv1 = Conv3x3Biased(3, 32)
      self.conv2 = Conv3x3Biased(32, 32)
      self.conv3 = Conv3x3Biased(32, 64)
      self.conv4 = Conv3x3Biased(64, 64)
      self.conv5 = Conv3x3Biased(64, 128)
      self.conv6 = Conv3x3Biased(128, 128)
      self.conv7 = Conv3x3Biased(128, 3, True)
  
file_path: tinygrad/examples/vgg7_helpers/waifu2x.py
imports: import numpy
  from tinygrad.tensor import Tensor
  from PIL import Image
  from tinygrad.helpers import fetch
label_desc: Use image node_id 1 to create a new Vgg7 object  with example: obj = Vgg7()